1,721,486 research outputs found
Yuhana Elva_Praktikum 3
No full textPengumpulan laporan praktikum kimia organik ke-3 tentang identifikasi gugus fungsi senyawa organik melalui kelarutan.</p
Yuhana Elva_Praktikum 4
No full textPengumpulan laporan praktikum kimia organik ke-4 tentang analisis kualitatif unsur-unsur dalam senyawa organik
Hospital management information system / Yuhana Ashikin Ghazali
No full textThis project is aimed to facilitate nurses with decision support feature and benefit the management of the hospital through increased speed or data manipulation, automated
processing, essential report generation, and also good patient care services rendered using an efficient, reliable and new-friendly method of computerization to solve the
shortcoming of drawbacks of the current systems used in hospitals in Malaysia today. This project, which focuses on research and development is developed using the latest
most accepted technologies of today and hence would widely accepted by the hospital industry in Malaysia. The HMIS features automated workload assessment, defaulting charting respond, decision support, automated computations , charts form and reports data, and easier rostering process. The design of patient assessment application module and nursing care plan module captures nursing assessment and planning data using computer. The system also aimed to provide an efficient patient assessment recording, reduce costs, and improve discharge planning and early identification of patients needs. On the whole, the project is aimed to overcome the problems faced by the industry and expedite the processes involved in the health care sector. Object oriented methods development approach used to elicit functional requirements and to model proposed system
Impact of Bukit Dua Belas rainforest transformation to oil palm plantation on phylogenetic of soil bacterial communities in Sarolangun, Jambi, Sumatra, Indonesia
No full textAbstract. Wijayanti M, Wahyudi AT, Yuhana M, Engelhaupt M, Meryandini A. 2019. Impact of Bukit Dua Belas rainforest transformation to oil palm plantation on phylogenetic of soil bacterial communities in Sarolangun, Jambi, Sumatra, Indonesia. Biodiversitas 20: 811-818. Land use change from forest to oil palm plantation at Sumatra could decrease biodiversity, including bacterial diversity. The case of Bukit Dua Belas transformation from forest to oil palm plantation was gotten for measuring shift community of soil bacterial in both areas. The diversity of bacterial communities from rainforest and oil palm plantation topsoil in Sumatra was studied using pyrosequencing of 16S rRNA gene and common biodiversity indices. Phylogenetic approach was used to reveal the community shift of bacterial phyla and genera in both areas. Ecological approach was carried out by measuring soil pH, TC (total carbon), TN (total nitrogen), AP (available phosphorous), bacterial diversity with Shannon and Simpson indices, and bacterial richness with Chao1-ACE index and OTUs. Bacterial diversity and richness on lowland forest topsoil and oil palm plantation soil were not different, as soil pH, TC, and TN as substrate factors were not different significantly. The majority of sequences related to Acidobacteria (56.33%), Proteobacteria (27.43%), Actinobacteria (7.11%), and Cyanobacteria (5.55%) were from forest; whereas those related to Acidobacteria (50.11%), Proteobacteria (31.63%), Actinobacteria (7.58%), Chloroflexi (2.60%), and Gemmatimonadetes (2.71%) invented from oil palm plantation. Acidobacteria was the most dominant phyla in both habitats, because soil pH in both areas was acidic (3.77 - 4.80 pHH2O). The genera of alpha-proteobacteria dominated in genera phylotype of bacterial 16S rRNA phylogenetic revealed in both forest and oil palm plantation topsoil. The most genera in phylogenetic tree are Burkholderia from Beta-proteobacteria. The bacterial community shift occurred in forest transformation, even though the oil palm plantation showed more bacterial phyla and genera than the lowland rainforest
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Ontology and Reasoning for Context-Aware Visitor Assistance
No full text在許多公共設施與遊客中心，訪客協助機制能夠提供給每位訪客有用的 資訊。然而，這些資訊多為靜態且流於泛泛，因此需要有服務人員能依據訪客的位 置、興趣與偏好，提供個人化的協助。例如，當新生在參訪大學校園 時，會想要知道符合自己研究興趣的教授有空的時間，而這些資訊是可以藉由現在的情境推論而知的。研究提供一種知識表達法與推論流程，以提供訪客情境感知的協助 。我們發展了一個用以表達時間、室內地點、事件、路線 、個人資料與研究主題等概念的OWL知識本體，以及26條用來推論訪客協助的SWRL規則。從實驗結果得知，此一情境感知的推論方法，能夠用以尋找訪客 的位置、目的地、無法使用的通道、有空閒的教授、適當的會面場所 ，以及與訪客研究興趣相符的教授等。In many public facilities and tourist destinations, visitor assistance provides useful information to all visitors. While much information is generic and static, a human assistant can offer more personalized assistance by reasoning about the visitor’s location, interests and preferences. For example, a new student visiting a university campus may need information on finding the professors with matching research interests at their available times, which may be derived by reasoning about the current contexts.his research explores the knowledge representation and reasoning process required to provide context-aware assistance to the visitors. In this thesis, we have developed the OWL ontology for time, indoor location and event context, as well as for routes, personal profiles and research topics. We have constructed 26 rules in SWRL to infer context-aware visitor assistance. A sample experiment has been conducted to demonstrate our context-aware reasoning process. The proposed approach can be used to find the visitor location, destination, unavailable passage, available professors and suitable location or person based on the visitor’s research interests.Chapter 1 Introduction 1.1 Indoor Visitor Assistance . . . . . . . . . . . . . . . . . . . . . . . . 1.2 Motivation of the Research . . . . . . . . . . . . . . . . . . . . . . . 3.3 Objective . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.4 Thesis Outline . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4hapter 2 Technology Overview 7.1 Modeling Context in Context Aware System . . . . . . . . . . . . . . 7.2 Knowledge Representation Language . . . . . . . . . . . . . . . . . 9.2.1 RDF and RDFS . . . . . . . . . . . . . . . . . . . . . . . . . 9.2.2 N3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.3 Ontology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.3.1 Ontology Definition . . . . . . . . . . . . . . . . . . . . . . 12.3.2 Web Ontology Language (OWL) . . . . . . . . . . . . . . . . 14.3.3 Data modeling vs Ontology . . . . . . . . . . . . . . . . . . 16.3.4 Ontology Building . . . . . . . . . . . . . . . . . . . . . . . 19.3.5 Tools to Develop Ontology . . . . . . . . . . . . . . . . . . . 22.4 Temporal Reasoning . . . . . . . . . . . . . . . . . . . . . . . . . . 22hapter 3 Problem Scenario and Definition 25.1 Problem Scenario . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.2 Problem Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.2.1 General observations . . . . . . . . . . . . . . . . . . . . . . 28.2.2 Problem Statement . . . . . . . . . . . . . . . . . . . . . . . 29hapter 4 Ontology Modeling 31.1 Knowledge and Context Analysis . . . . . . . . . . . . . . . . . . . . 31.1.1 Indoor Location . . . . . . . . . . . . . . . . . . . . . . . . . 31.1.2 Nodes and Edges Type . . . . . . . . . . . . . . . . . . . . . 33.1.3 Person . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.1.4 Sensor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.1.5 Research Area in Computer Science . . . . . . . . . . . . . . 34.1.6 Time and Event Context . . . . . . . . . . . . . . . . . . . . 35.2 Visitor Assistance Ontology . . . . . . . . . . . . . . . . . . . . . . 35.2.1 Analysis and Design . . . . . . . . . . . . . . . . . . . . . . 35.2.2 Ontology Implementation . . . . . . . . . . . . . . . . . . . 42hapter 5 Reasoning 53.1 Rule Languages . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.1.1 SWRL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.1.2 Jena Rule. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.1.3 Jess Rule. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.1.4 SQWRL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.2 Rules for Reasoning . . . . . . . . . . . . . . . . . . . . . . . . . . . 58hapter 6 Experiment 79.1 Finding a Person’s Location . . . . . . . . . . . . . . . . . . . . . . 80.1.1 Check whether person has an event or not at requested timend infer his location . . . . . . . . . . . . . . . . . . . . . . 82.1.2 Extract a person’s location . . . . . . . . . . . . . . . . . . . 84.2 Finding the right place for a specific purpose . . . . . . . . . . . . . . 85.2.1 Finding the professors who has research interest related withertain research topic. . . . . . . . . . . . . . . . . . . . . . 86.2.2 Let the salesman chooses one of them and extracts his laboratory. 87.3 Finding the right person at the right time . . . . . . . . . . . . . . . . 88.3.1 Extract the list of the events. . . . . . . . . . . . . . . . . . . 89.3.2 Infer busy status for professors who have an event at requestedime. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.3.3 Infer match professors who are available at requested time . . 90.3.4 Let visitor choose one of them and infer the location of choosenrofessor . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.4 Getting Unavailable Passages. . . . . . . . . . . . . . . . . . . . . . 91.4.1 Infer locked status to be true . . . . . . . . . . . . . . . . . . 91.4.2 Extract unavailable route segment. . . . . . . . . . . . . . . . 92hapter 7 Conclusion 95.1 Summary of Contributions . . . . . . . . . . . . . . . . . . . . . . . 95.2 Future Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96ibliography 9
Sistem ketatanegaraan Indonesia pasca perubahan UUd 1945 : sistem perwakilan di Indonesia dan masa depan MPR RI/ Yuhana
No full text221 hal.; 24 cm
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